EEG Channel Selection Algorithm for Classification Problem

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I'm working on a classification problem using eeg signals, each record is 62 channel * number of timesteps. I want to reuce the number of chaneels before training the deep network, is it the right approach? and if so any ideas about channel reduction algorithms.
* I tried to train the model with each channel and after that perform the majority voting on different combinations of the predicted outputs to get the final predictions but how can I know the number of combinations that can give me the optimum train and test results?

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Drew
Drew 2025-3-11
There are many ways to classify EEG signals.
If this answer helps you, please remember to accept the answer.

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